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Combining Individual Phenotypes of Feed Intake With Genomic Data to Improve Feed Efficiency in Sea Bass ArchiMer
Besson, Mathieu; Allal, Francois; Chatain, Beatrice; Vergnet, Alain; Clota, Frederic; Vandeputte, Marc.
Measuring individual feed intake of fish in farms is complex and precludes selective breeding for feed conversion ratio (FCR). Here, we estimated the individual FCR of 588 sea bass using individual rearing under restricted feeding. These fish were also phenotyped for their weight loss at fasting and muscle fat content that were possibly linked to FCR. The 588 fish were derived from a full factorial mating between parental lines divergently selected for high (F+) or low (F–) weight loss at fasting. The pedigree was known back to the great grand-parents. A subset of 400 offspring and their ancestors were genotyped for 1,110 SNPs which allowed to calculate the genomic heritability of traits. Individual FCR and growth rate in aquarium were both heritable...
Tipo: Text Palavras-chave: Aquaculture; Feed conversion ratio; Fine phenotyping; Genomic selection; Individual feed intake; Restricted feeding; Selective breeding.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00486/59799/62927.pdf
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Future directions in breeding for disease resistance in aquaculture species R. Bras. Zootec.
Houston,Ross D..
ABSTRACT Infectious disease is a major constraint for all species produced via aquaculture. The majority of farmed fish and shellfish production is based on stocks with limited or no selective breeding. Since disease resistance is almost universally heritable, there is huge potential to select for improved resistance to key diseases. This short review discusses the current methods of breeding more resistant aquaculture stocks, with success stories and current bottlenecks highlighted. The current implementation of genomic selection in breeding for disease resistance and routes to wider-scale implementation and improvement in aquaculture are discussed. Future directions are highlighted, including the potential of genome editing tools for mapping causative...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Genome editing; Genomic selection; Selective breeding.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017000600545
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Genetic improvement of beef cattle through opportunities in genomics R. Bras. Zootec.
Miller,Stephen.
Genomics will improve the efficiency of beef cattle genetic improvement programs through the incorporation of genomic predictions into traditional genetic evaluations. The global dairy cattle breeding industry has been changed considerably in the last year through the implementation of genomic selection. Now proven to work in dairy cattle breeding, the challenge remains for the beef industry to successfully implement this technology. The primary challenge in beef cattle is the required resource population that relates genomic profile to phenotypic performance, which is quite large and its establishment will require collaboration or a significant investment by any one enterprise. Another challenge in beef cattle is the requirement for genomic predictions to...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Breeding strategies; DNA; Genomic selection; Phenotype; Recording; Single nucleotide polymorphisms.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982010001300027
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Genome selection in fruit breeding: application to table grapes Scientia Agricola
Viana,Alexandre Pio; Resende,Marcos Deon Vilela de; Riaz,Summaira; Walker,Michael Andrew.
ABSTRACT Genomic selection (GS) has recently been proposed as a new selection strategy which represents an innovative paradigm in crop improvement, now widely adopted in animal breeding. Genomic selection relies on phenotyping and high-density genotyping of a sufficiently large and representative sample of the target breeding population, so that the majority of loci that regulate a quantitative trait are in linkage disequilibrium with one or more molecular markers and can thus be captured by selection. In this study we address genomic selection in a practical fruit breeding context applying it to a breeding population of table grape obtained from a cross between the hybrid genotype D8909-15 (Vitis rupestris × Vitis arizonica/girdiana), which is resistant...
Tipo: Info:eu-repo/semantics/article Palavras-chave: MAS; SSR markers; Linkage disequilibrium; Genomic selection.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000200142
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Genome-wide association for mapping QTLs linked to protein and oil contents in soybean PAB
Dias,Douglas Antônio; Polo,Leandra Regina Texeira; Lazzari,Fabiane; Silva,Glacy Jaqueline da; Schuster,Ivan.
Abstract: The objective of this work was to identify single-nucleotide polymorphism (SNP) markers linked with quantitative trait loci (QTLs) associated with increased contents of protein and oil in soybean. A total of 169 Brazilian soybean varieties, genotyped with 6,000 SNP markers, were evaluated. Protein and oil contents were obtained with the near-infrared reflectance method. Correlation and multiple linear regression analyses were used to identify linkage disequilibrium between SNP markers and the QTLs associated with the two characteristics. Seven QTLs were found to be associated with protein content, on six chromosomes (2, 6, 11, 12, 13, and 16), explaining 60.9% of the variation in this trait. For oil content, eight QTLs were identified on six...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Glycine max; Association genetics; Genomic selection; Grain quality; Linkage disequilibrium; Marker-assisted selection..
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017001000896
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Use of direct and iterative solvers for estimation of SNP effects in genome-wide selection Genet. Mol. Biol.
Pimentel,Eduardo da Cruz Gouveia; Sargolzaei,Mehdi; Simianer,Henner; Schenkel,Flávio Schramm; Liu,Zengting; Fries,Luiz Alberto; Queiroz,Sandra Aidar de.
The aim of this study was to compare iterative and direct solvers for estimation of marker effects in genomic selection. One iterative and two direct methods were used: Gauss-Seidel with Residual Update, Cholesky Decomposition and Gentleman-Givens rotations. For resembling different scenarios with respect to number of markers and of genotyped animals, a simulated data set divided into 25 subsets was used. Number of markers ranged from 1,200 to 5,925 and number of animals ranged from 1,200 to 5,865. Methods were also applied to real data comprising 3081 individuals genotyped for 45181 SNPs. Results from simulated data showed that the iterative solver was substantially faster than direct methods for larger numbers of markers. Use of a direct solver may allow...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Breeding value; Genomic selection; Mixed model equations; Numerical method.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000100033
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